必要预备知识 (Prerequisite Knowledge)

机器学习基础

A basic understanding of machine learning

您将学到什么 (What you'll learn)

讲述Google的tensor处理单元

Explore Google's tensor processing unit

描述 (Description)

本讲话将用英语授课，同时会提供中文同声传译。中文版本摘要会在英文摘要下面给出。

The tensor processing unit is a LSI designed by Google for neural network processing. The TPU features a large-scale systolic array matrix unit that achieves an outstanding performance-per-watt ratio. Kazunori Sato explains how a minimalistic design philosophy and a tight focus on neural network inference use cases enables the high-performance neural network accelerator chip.

Kaz Sato

Google

Kaz Sato is a staff developer advocate on the cloud platform team at Google, where he leads the developer advocacy team for machine learning and data analytics products such as TensorFlow, the Vision API, and BigQuery. Kaz has been leading and supporting developer communities for Google Cloud for over seven years. He’s a frequent speaker at conferences, including Google I/O 2016, Hadoop Summit 2016 San Jose, Strata and Hadoop World 2016, and Google Next 2015 NYC and Tel Aviv, and he has hosted FPGA meetups since 2013.